NEAR-REAL-TIME CONTINUAL 3D REGISTRATION OF OBJECTS IN 2D X-RAY IMAGES

Smart overview of the Invention

Systems and methods have been developed for the continual automatic registration of bone fragments, surgical instruments, and implants using only a single additional X-ray image. This approach eliminates the need to reposition the X-ray source, allowing for efficient monitoring during surgical procedures. By utilizing artificial intelligence, the technology can automatically detect and localize various objects within the surgical area, computing their three-dimensional positions and orientations in near real-time.

Field of Application

The innovation is rooted in artificial intelligence and computer-assisted surgery, specifically focusing on providing critical information about objects based on X-ray images. It enables automatic determination of the relative 3D positions and orientations of potentially moving objects during surgical operations, which can be executed through a computer program on a processing unit.

Challenges in Surgical Procedures

In orthopedic surgeries, particularly for stabilizing fractures with implants, accurate placement is crucial. Traditional methods for determining entry points for implants often rely on palpation or X-ray imaging, both of which have significant limitations. These include imprecise identification of the optimal entry point and difficulties in ensuring correct angles during minimally invasive procedures, which can lead to complications and suboptimal outcomes.

Importance of Accurate Measurements

Correctly assessing angles such as anteversion or torsion during surgery is vital for ensuring patient comfort and successful healing. Studies indicate that deviations from ideal angles frequently occur, leading to potential discomfort or further surgical interventions. The existing techniques for measuring these angles are often subjective and can result in significant inaccuracies, highlighting the need for reliable intraoperative measurement systems.

Enhancements to Surgical Precision

The proposed technology aims to address these challenges by providing continual verification of drilling angles and trajectories during procedures. This capability allows surgeons to maintain precise control over their actions, reducing the risk of misdrillings and enhancing overall surgical accuracy. By integrating advanced imaging techniques with artificial intelligence, this system promises to improve outcomes in complex orthopedic surgeries.